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Record W7152284930 · doi:10.33579/rkr.v6i2.4389

Identifikasi Lahan Investasi Potensial Kawasan Free Trade Zone (FTZ) Bintan

2024· article· W7152284930 on OpenAlexaff
Sri Harianto, A. Yunastiawan Eka Pramana, Yusliana Yusliana

Bibliographic record

VenueREKA RUANG · 2024
Typearticle
Language
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsLand useWildlife corridorPenetrometerHydrology (agriculture)

Abstract

fetched live from OpenAlex

Free Trade Zone (FTZ) merupakan kawasan yang terpisah dari daerah pabean sehingga bebas dari pengenaan bea masuk, PPN, PPnBM, dan cukai. Salah satu Kawasan FTZ di Indonesia adalah FTZ Bintan. Berada di sisi jalur perdagangan internasional paling ramai di dunia menjadikan Bintan sebagai pintu gerbang arus masuk investasi, barang dan jasa dari dan ke luar negeri. Ketersediaan SDM dan lahan serta komitmen Pemda sangat mendukung bertumbuhnya investasi. Maka dibutuhkan suatu instrumen bagi calon investor terkait ketersediaan, sebaran, dan kondisi lahan-lahan potensial untuk investasi. Dengan pendekatan deskriptif-kualitatif dan menggunakan teknik analisis spasial serta keakuratan data citra satelit yang diperoleh, dapat dihasilkan suatu instrumen akademis dan komprehensif. Data citra satelit dilakukan koreksi orthorektifikasi dan georeferencing untuk menguji validitasnya dan selanjutnya di digitasi, atribusi, dan dilakukan penampalan terhadap peraturan tata ruang serta analisis terhadap kriteria kondisi lahan yang mendukung investasi untuk menghasilkan lahan-lahan potensial untuk investasi. Hasil analisis menunjukkan 1.679,53Ha (4,23%) dan 15.423,92Ha (38,80%) dari total Kawasan FTZ Bintan termasuk kategori lahan potensial sangat tinggi dan tinggi. Lahan-lahan tersebut didominasi semak belukar, tegalan dan lahan-lahan terbuka, memiliki aksesibilitas jalan yang baik serta aksesibilitas yang tinggi terhadap simpul-simpul transportasi sebagai askes keluar masuk barang, jasa dan tenaga kerja.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.632
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.221
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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